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Final Paper

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  The Hidden Opponent   Brylie R Nedd Texas Lutheran University COMM 339: Social Media and Society  Dr. Steve Vrooman May 9, 2024                    The topic of mental health in college sports has gathered increasing attention in recent years, with growing recognition of the unique stressors and challenges faced by student-athletes. The emergence of online platforms as a space for discourse presents an opportunity to examine how mental health issues within this context are portrayed, discussed, and perceived. Throughout this paper I will be discussing my project, beginning first with explaining my research in my literature review. I will discuss what we already know about stress causing mental health issues within the world of sports, as well as the reasoning behind why there is a stigma associated with this topic, and I will also provide information about the account in which I analyzed. Then I will explain my method and...

Data Post

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I have shifted my goal of this project from looking to see if this account has a positive impact on people, to looking at the personal experiences and feeling people are commenting about. I am going to go deeper into a discussion about how this account is helping to break the stigma surrounding mental health within college athletics.  Here is some of the data I have begun analyzing. This is not all of it, just some comments from one post, but this is how I will be organizing the comments from all 5 of the posts I will collect data from. 

Method "before"

“Before” Method Section   The data collection process will focus on the Instagram account "TheHiddenOpponent". The account primarily features posts related to mental health, wellness, and overcoming challenges in athletics. To ensure a comprehensive analysis, I will gather data spanning from the last year. (April 2023-April 2024) In order to gauge users' responses accurately, I plan on using sentiment analysis on the selected comments. I will employ a sentiment analysis model tailored to social media data, enabling the classification of comments into positive, negative, or neutral sentiments.   Sampling Strategy:  Since this account is fairly active on Instagram, there is likely a plethora of posts I could choose from to analyze. Therefore, I plan on analyzing the 4 posts with the most interactions from the last year. So this means posts with a lot of likes or comments. I feel this will provide me with the most amount of data to analyze. I will then look at a range of 4-8...